3 of 3 Remote/Hybrid Natural Language Processing Jobs in Plymouth

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe

Hiring Organisation
Enigma
Location
Plymouth, Devon, UK
Employment Type
Full-time
Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system's ability to answer increasingly complex technical questions. … Computer Science, Machine Learning, Mathematics, Statistics, or a related field Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing Hands-on experience training, fine-tuning, and deploying LLMs Experience working with vector databases, search indices, or data stores for retrieval use cases Significant ...

Senior Machine Learning Engineer

Hiring Organisation
Omnis Partners
Location
Plymouth, Devon, UK
Employment Type
Full-time
Senior or Lead Machine Learning Engineer (ASR & NLP) We're supporting a growing AI Product building advanced speech tools. They need a hands-on strategic Senior or Lead ML Engineer with expert Automatic Speech Recognition (ASR) experience to modernise core voice architecture and bring next-gen speech products to life. … ASAP Outside IR35 - rate depending on experience The Role Modernise and streamline platform architecture for scalability & customisation Lead development of multilingual speech features & seamless language switching Drive product innovation Own complex ASR data formatting (e.g. alphanumerics, voice-specific cases) Influence roadmap and product vision What We're Looking ...

Senior Staff Engineer (Machine Learning) - 45391

Hiring Organisation
Turing
Location
Plymouth, Devon, UK
Employment Type
Full-time
results to stakeholders and executives effectively. Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience ...